Feature extraction of cone with precession based on micro-Doppler

Precession is a key feature for distinguishing warhead from decoys in the missile mid course, and a method of feature extraction of target with precession based on the micro-Doppler modulation is provided in this paper. The radar echo model of cone with precession is simulated by point scattering model, and the modulation of Doppler frequency caused by precession is developed. As the spread of echo spectrum corresponding to the modulation amplitude of micro-Doppler frequency, a method utilizing the spread of echo spectrum is provided to estimate the precession angle. Based on the characteristics of micro-Doppler, a 2D reconstruction of the target using inverse Radon transform and time-frequency distribution is proposed. The experiments demonstrate the validation of proposed method.